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MetaConstructs

The Evolution of Digital Twins in the Metaverse Era

Language EnglishEnglish
E-book Adobe ePub DRM
Publishers Elsevier, February 2026
MetaConstructs: The Evolution of Digital Twins in the Metaverse Era provides information on emerging... Full description
? points 510 b
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MetaConstructs: The Evolution of Digital Twins in the Metaverse Era provides information on emerging fields of next-generation digital twins, with a special emphasis on developments and applications in IoT, artificial intelligence, deep learning techniques, virtual reality, augmented reality, internet of medical things (IoMT), optimization techniques, decision-making, and cloud computing. The book provides a conceptual framework and roadmap for decision-makers for this transformation. The metaverse technology represents a comprehensive virtual world where everything and everyone interacts similarly to what we would do in the real world. The concept of the metaverse has gained a lot of prominence after several cryptocurrency networks adopted the technology.With the metaverse technology, virtual reality becomes a persistent virtual environment that exists even when you are not engaging with it. The digital twin in IoT (Internet of things) and the metaverse are the next big step in our technological evolution as these two technologies continue to shorten the gap between humans and the digital world. - Provides a holistic discussion of digital twin and metaverse technologies, including AI, VR, AR, IoT, and IoMT. - Offers insights about how DL and ML, computational intelligence, computer vision (CV), federated learning, and digital tools have numerous potential applications in the digital twin space, starting, of course, with the development of tools. - Explains how to enable digital twin based techniques and tools, and explores the real-world usage of the products they designed with all the benefits that bring.

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About the book

Full name MetaConstructs
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2026
EAN 9780443406799
Libristo code 51342010
Publishers Elsevier
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